Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2625-2023
https://doi.org/10.5194/nhess-23-2625-2023
Research article
 | 
24 Jul 2023
Research article |  | 24 Jul 2023

Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine

Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan

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Latest update: 23 Apr 2024
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Short summary
We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
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